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94
Voted
CORR
2011
Springer
14 years 7 months ago
2011
Springer
—We investigate approximating joint distributions of random processes with causal dependence tree distributions. Such distributions are particularly useful in providing parsimoni...
124
Voted
ML
2012
ACM
13 years 8 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
111
Voted
ASUNAM
2009
IEEE
15 years 7 months ago
2009
IEEE
—This paper presents a novel methodology for social network discovery based on the sensitivity coefficients of importance metrics, namely the Markov centrality of a node, a metr...
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
We show that linear value-function approximation is equivalent to a form of linear model approximation. We then derive a relationship between the model-approximation error and the...
106
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DATE
2008
IEEE
15 years 7 months ago
2008
IEEE
This paper describes a scalable, technology-independent algorithm for the synthesis of approximate logic circuits. A low overhead, non-intrusive solution for concurrent error dete...